Top Machine Learning Jobs in Greensboro, NC

The Data Scientist will partner with Sales, Revenue Operations, and Finance to analyze GTM performance, build and productionize machine learning models, conduct experiments, forecast outcomes, and identify growth opportunities. Responsibilities include statistical analysis, causal inference, Python and SQL development, MLOps, agentic workflow automation, semantic-layer contributions, executive reporting, and communicating insights to nontechnical stakeholders in a fully remote environment.

Leads SailPoint’s global corporate communications function, including corporate narrative, media relations, PR campaigns, crisis communications, executive coaching, podcast strategy, partner communications, and measurement. The role manages internal and agency teams, translates complex cybersecurity and AI concepts into compelling stories, supports product launches and company milestones, builds rapid-response capabilities, and advises executives on reputation and communications strategy.

Own Secret Detection and Vulnerability Research as a product: define strategy across prevention, detection, validation, revocation, and reporting; ship detection content and intelligence with measurable quality; drive adoption, retention, and revenue; partner with engineering, research, and Field; use AI to accelerate research and productization.

Analyzes the Security for AI competitive landscape, including AI detection and response, generative AI security, autonomous agents, prompt injection, and data leakage. Partners with Product, Sales, Marketing, Strategy, and senior leaders to guide product roadmaps, go-to-market strategy, deal support, sales tactics, and competitive positioning. Conducts win/loss analysis and translates complex AI and cybersecurity concepts into executive and field-actionable guidance.

Leads financial statement audits for digital assets and financial services clients, evaluating regulatory compliance, governance, risk management, and internal controls. Applies advanced auditing and technical accounting expertise to identify material misstatements and issue audit reports. Directs complex engagements, coaches diverse teams, manages client relationships, communicates findings, and reinforces professional, independence, and ethical standards. The role also involves data analysis and exploring AI and machine learning platforms to improve processes.

Provides technical account management for enterprise customers using Samsara’s IoT platform. Builds customer relationships, troubleshoots APIs, hardware, software, and AI technologies, manages significant incidents, aligns solutions with business needs, maintains account records, and serves as a trusted technical advisor. Collaborates with internal teams, supports customer growth, contributes to TAM team development, and provides occasional travel and after-hours coverage.

Leads CDW’s AI advisory consulting portfolio, including strategy, governance, operating models, adoption, prioritization, and roadmaps. Develops consulting methodologies, delivery frameworks, sales enablement, and thought leadership. Advises executives and customers, leads complex presales pursuits, shapes proposals and business cases, oversees delivery quality and risk, evaluates technical feasibility, and mentors consulting and presales teams.

Supports CrowdStrike Falcon Intel Recon customers by analyzing and triaging cyber threat intelligence, explaining dark web findings, managing customer relationships, escalating noteworthy intelligence, and communicating feedback to Intelligence and Engineering teams. The role requires knowledge of threat intelligence lifecycles, dark web ecosystems, enterprise security, customer engagement, AI-enabled workflows, and presenting technical information to varied audiences. Travel is minimal to light, up to 25%.

Define and own the technical vision, product strategy, roadmap, data strategy, and AI integration for CrowdStrike’s Next-Gen SIEM and log management products. Translate customer, market, and threat intelligence into shipped capabilities; lead cross-platform integration across endpoint, cloud, identity, and exposure products; and articulate the platform consolidation narrative. Engage executives, customers, analysts, sales, engineering, and product teams while driving detection, investigation, response automation, and cybersecurity thought leadership.

Own and deliver quarterly engineering goals for Affirm’s ML Feature Platform. Design, develop, and launch scalable backend systems, lead engineers through ambiguous problems, collaborate with product and design stakeholders, improve platform reliability and availability, support on-call operations, establish quality standards, and mentor team members. The role focuses on highly available distributed systems supporting machine learning feature creation, storage, serving, and offline backfilling.

Own and deliver goals for ML training and serving infrastructure. Lead engineers through ambiguous, distributed-systems challenges; design, develop, and operate highly available backend platforms; monitor reliability and support on-call operations. Collaborate with product and engineering stakeholders, improve code and design standards, identify and resolve technical issues, and mentor team members. The role focuses on scalable systems that enable production model training and serving.

Build and maintain core infrastructure for developing, training, evaluating, deploying, and operating machine learning models and pipelines for Atlassian’s GenAI products. Solve complex software infrastructure and architecture challenges, lead engineers through technical projects from design to launch, and collaborate with internal teams and customers. The role involves large-scale distributed systems, data processing, cloud platforms, CI/CD, and machine learning lifecycle support.

Leads the design, development, and deployment of scalable AI, generative AI, and machine learning solutions. Oversees data infrastructure, integration, data quality, and advanced analytics while managing client engagements and executive relationships. Drives business development, strategic direction, innovation, and AI-driven automation. Mentors teams, develops future leaders, and fosters collaboration, integrity, and client satisfaction across complex projects.

Leads technical pre-sales for supply chain integration solutions, partnering with Sales to conduct discovery, design ERP/WMS/TMS and trading-partner architectures, run POCs, deliver demonstrations, and respond to RFPs. Advises technical and executive stakeholders on business outcomes and AI opportunities, translates capabilities into measurable ROI, and collaborates with Product, Customer Success, and Professional Services on roadmap feedback and post-sale handoffs.

Manage post-sale customer relationships, onboarding, adoption, retention, renewals, and expansion opportunities for software products. Develop success plans, monitor customer health, conduct executive and quarterly business reviews, and serve as the voice of the customer with Product, Engineering, and Sales. Advise government and defense customers on information advantage products, draft strategic documents, and present operational plans. Requires an active Secret clearance and eligibility for TS/SCI, with occasional travel.

Develop advanced statistical and machine-learning solutions for fraud and other data-intensive business problems. Translate ambiguous needs into hypotheses, experiments, models, and prototypes; shape data strategies; evaluate emerging generative and agentic AI technologies; and partner with Product, Engineering, Analytics, and business teams to operationalize solutions. The role also includes mentoring junior team members and fostering experimentation and innovation.

Leads the engineering team responsible for Airbnb’s globally scalable AirCover insurance platform. Sets technical strategy, architecture, roadmap, and operational standards for configurable insurance products, pricing, enrollment, coverage management, and experimentation. Partners with Product, Data Science, Legal, Insurance, Finance, and Operations to expand across regions and improve attach rates. Manages hiring, mentoring, career development, incident response, and engineering quality while guiding distributed, high-availability backend systems and ML-driven experimentation.

Create and update technical interview guides, question explanations, and structured resources covering SQL, Python, machine learning, statistics, and business cases. Research hiring trends and real interview questions, analyze technical concepts, provide step-by-step explanations, and use AI tools to draft and revise content. Collaborate with editors and subject-matter experts, incorporate feedback, and follow editorial, structural, and SEO guidelines. This is a flexible 20–40 hour-per-week unpaid internship lasting 500 hours over 3–6 months.

Designs and optimizes scalable data pipelines, machine learning models, and AI-enabled enterprise applications. Builds agentic systems, chatbots, autonomous agents, and automation tools; integrates data and AI solutions with business platforms; and ensures data quality, security, compliance, and governance. The role requires Python, SQL, cloud data platforms, modern pipeline tools, MLOps, API integration, and collaborative delivery of reliable end-to-end solutions.

Acquire new enterprise customers across AMER for Kimchi, managing the full sales cycle from prospecting and discovery through technical validation, negotiation, close, and value delivery. Build outbound pipeline, sell to technical and financial stakeholders, develop partner relationships, pursue expansions within existing Cast AI accounts, and help shape the go-to-market playbook for a new product and region.

Own the design, development, integration, release, and reliability of tailored AI solutions for enterprise clients. Adapt a core AI platform, deliver client-specific changes to a shared codebase, manage production rollouts, diagnose complex issues, and serve as the primary technical contact for client engineers. The role requires strong Python, software architecture, system design, and experience deploying LLM or agent-based systems used by customers in live environments.

Leads enterprise Data and AI strategy, use-case prioritization, governance, risk assessment, solution delivery, performance monitoring, and adoption. Partners with Finance, IT, Legal, Compliance, Privacy, Security, and business stakeholders to develop responsible AI and analytics solutions. Provides technical guidance on machine learning, generative AI, data requirements, prompt design, model selection, testing, and implementation. Creates training, communications, and reusable assets to improve AI literacy and adoption.

Lead product strategy, roadmap, and delivery for Falcon Complete’s internal MDR tooling, including AI-powered investigation and triage, ticketing, case management, and analyst workbench systems. Partner with security operations, analysts, engineering, and data science teams to translate workflows into product requirements, prioritize automation, improve analyst productivity and response times, define success metrics, and enhance customer outcomes.

Own strategic partner relationships from onboarding through ongoing delivery, serving as the primary point of contact and internal advocate. Lead cross-functional implementations, track commitments, translate partner needs into product and engineering requirements, support roadmap planning, manage escalations, monitor account health, and identify growth opportunities. Establish partner cadences, scalable processes, and centralized request tracking while ensuring partners are prepared to adopt new features.

Own strategic partner relationships, onboarding, implementation, account health, escalations, and recurring partner cadences. Translate partner needs into product and engineering requirements, influence roadmap priorities, and ensure commitments are delivered. Build a scalable partner management function, including request tracking, operating cadences, onboarding processes, and implementation playbooks. Collaborate across Sales, Product, Engineering, Data Science, and Commercial teams to support partner retention, growth, and successful feature adoption.